How to use Danrisi/Samsung_Qwen2512 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2512", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Danrisi/Samsung_Qwen2512") prompt = "slow shutter speed, that cause motion blur. Digital photography, slightly grainy texture, vibrant saturation, high contrast with flash illumination on the foreground, outdoor urban street setting at twilight, young woman that wear loose black t-shirt and weather jeans and converse sneakers, she is motion blurred, she is doing trick on skateboard, she is motion in the air perfoming trick on skate, skateboard with anime girl aerography. the background features a dark roadway with motion-blurred streaks of red taillights and white headlights, silhouetted trees and palm fronds frame the left while tall streetlights line the road against a gradient sky fading from deep violet to sunset orange" image = pipe(prompt).images[0]
Hey Curious on how big the dataset size is, and if there is plans on selling the dataset
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